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基于交互多模算法的Kalman平滑器在滑坡监测中的应用
引用本文:唐春艳,彭继兵.基于交互多模算法的Kalman平滑器在滑坡监测中的应用[J].水文地质工程地质,2005,32(2):92-95.
作者姓名:唐春艳  彭继兵
作者单位:成都理工大学信息管理学院,成都,610059
摘    要:将滑坡的监测视为机动目标的跟踪问题,基于传统机动目标跟踪算法的不足,首次引入交互多模算法对滑坡监测数据进行处理。最后在此基础上给出了一种卡尔曼滤波平滑算法,实例仿真结果说明了其有效性。

关 键 词:交互多模算法  滑坡监测  数据处理  卡尔曼平滑器
文章编号:1000-3665(2005)02-0092-04
修稿时间:2004年5月31日

Application of the Kalman smoother based on interactive multiple models algorithm in the landslide monitoring
TANG Chun-yan,PENG Ji-bing.Application of the Kalman smoother based on interactive multiple models algorithm in the landslide monitoring[J].Hydrogeology and Engineering Geology,2005,32(2):92-95.
Authors:TANG Chun-yan  PENG Ji-bing
Abstract:The monitoring of landslide is taken as the tracking of mobile object,and based on the shortage of the conventional tracking algorithm of mobile object, the interacting multiple models algorithm is used in to process the landslide monitoring data for the first time. Based on that, a smoothness algorithm of Kalman filtering is given in the last, and its effectiveness is illustrated by the results of example simulation.
Keywords:interactive multiple models algorithm  landslide monitoring  data processing  Kalman smoother  
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